What is the Syntho Engine and how does it work?
The Syntho Engine is Syntho's synthetic data generation platform. It uses artificial intelligence technology to create synthetic data that mirrors real-world data, without exposing any sensitive or private information. The Syntho Engine generates data that can be used in a similar way to real-world data, making it beneficial for functions like testing applications, data analysis, and generating product demos. It's supported by various extended features offered on the platform.
What types of data can Syntho generate?
Syntho can generate synthetic data that mirrors various types of real-world data. This includes but not limited to time series, multi-table databases, and open text.
How secure is the synthetic data generated by Syntho?
The synthetic data generated by Syntho is highly secure. It mimics real-world data but does not contain any sensitive, personal or private information, thus safeguarding privacy and confidentiality. Syntho also has a PII scanner to prevent sensitive personal information from being exposed through the synthetic data.
What industries can benefit from using Synthoβs synthetic data?
Various sectors can benefit from using Synthoβs synthetic data. Syntho's platform has been designed to provide consistent and dependable results across all industries. It can particularly be valuable in sectors like software development, analytics, and product demonstrations, where privacy-compliant, high-quality data is essential.
How can Syntho's synthetic data be used for product demos?
Syntho's synthetic data can be used for product demos by providing datasets that closely resemble real-world data but without any privacy or confidentiality issues. It allows companies to showcase their product's capabilities without the need to use real user data, ensuring compliance with privacy regulations.
What is the accuracy of the synthetic data generated by Syntho?
Syntho guarantees a high level of accuracy for the synthetic data generated by its platform. The company's technology ensures that the synthetic data is as accurate and high-quality as possible, resembling real-world data in its structures, patterns and overall behaviour.
How does Syntho's PII scanner work to prevent sensitive information from exposure?
Syntho's PII scanner is designed to prevent sensitive personal information from being exposed within datasets or databases. It inspects the datasets and databases for any personally identifiable information, and removes or masks it to prevent exposure.
What are the pricing plans available for Syntho?
Syntho offers various pricing plans. These plans are detailed on their website and are designed to meet the different needs of their clients. Specific pricing details would need to be explored directly on the Syntho website.
What are the extended features that support the Syntho Engine?
Syntho offers several extended features that support the Syntho Engine. These extended features include an easy-to-use self-service portal, user management features, and powerful connectivity options that effortlessly integrate source and target data for an end-to-end approach. Extra details need to be explored directly on their website.
What type of data does the Syntho platform support?
The Syntho platform supports a variety of data types. This includes time series, multi-table databases, and open text.
How do I integrate Synthoβs Engine correctly?
Syntho's Engine can be integrated by connecting seamlessly with the source and the target data sets. This offers an end-to-end integrated approach. More specific requirements and steps should be explored directly on the Syntho website.
What career opportunities are available at Syntho?
Syntho offers career opportunities in several areas. The specifics would need to be explored directly on the Syntho website where they provide information about the team and the company's values, as well as about their current career opportunities.
Does Syntho offer a self-service platform?
Yes, Syntho does offer a self-service platform. The platform is user-friendly and requires minimal knowledge to use, providing users with management and easy deployment options either on-premise, on a private cloud, or via the Syntho cloud.
How can Synthoβs synthetic data be used as an alternative to real-world data?
Synthoβs synthetic data can be used as an alternative to real-world data in various ways. For instance, it can be used for testing applications, building strong data foundations, creating next-level product demos, enhancing privacy protection, boosting data insights, driving industry collaborations, and speeding up data-driven tech solutions.
Can Syntho's synthetic data be used for testing applications?
Yes, Syntho's synthetic data can be used for testing applications. It provides as-good-as-real data, which makes it an excellent resource for delivering high-quality software solutions quickly.
How does Syntho ensure the quality of its synthetic data?
Syntho ensures the quality of its synthetic data through technology that automatically detects data types, schemas, and formats to optimize data accuracy. The synthetic data reflects the structures, patterns, and behaviours found in real-world data, ensuring high-quality and useful synthetic data.
Can Syntho's synthetic data support multi-table databases and open text?
Yes, Syntho's synthetic data can support multi-table databases and open text. The Syntho platform is equipped to handle complex data structures while maintaining high data accuracy.
What computational requirements does Syntho have for generating synthetic data?
Syntho minimizes computational requirements for generating synthetic data, with no GPU required. This is achieved without compromising on data quality, making it an efficient solution for synthetic data generation.
How does Syntho's synthetic data contribute to data-driven tech solutions?
Syntho's synthetic data contributes to data-driven tech solutions by providing high-quality, privacy-compliant data for testing, analysis, and demonstrations. It accelerates these tech solutions by eliminating barriers typically encountered with real-world data like privacy concerns and data scarcity.
Does using Syntho require any specialized knowledge or skills?
No specialized knowledge or skills are required to use Syntho. The platform offers the most user-friendly self-service portal, handling data type detection, schema mapping, and data formatting automatically.